The infrastructure and services running on public cloud computing services like Google Cloud Platform (GCP) and Amazon Web Services (AWS) produce massive volumes of logs every day. An organization’s log data provides details about their entire IT environment in real-time, or at any point in time in history.

Logging is essential in Node.js for tracking errors, monitoring performance, and debugging issues. Traditional node.js logging methods, like using console.log(), are often insufficient due to unstructured, cluttered logs that are hard to read. They lack features like log levels, proper formatting, and efficient storage management. Best practices for logging ensure logs are useful, structured, and manageable. Implementing these best practices is crucial for several reasons.

Observability is a broad topic that provides visibility into the key metrics powering customer-facing applications. These applications range from external facing applications ( e.g., Internet banking/online education/e-commerce/government records ) to internal facing applications ( e.g., Trading systems by brokers, Logistics controllers, Traffic Management, and Hotel Reservations). Observability also incorporates backend systems powering industries that ensure smooth operations of tools and processes.

Today, we are pleased to announce the general availability of Elastic 8.14.

In 2023, the global regulatory fines exceeded a colossal $10.5bn. It is not an isolated story. For the past few years, data, privacy, and industry-specific regulations have been getting stricter, enforcement is becoming rigorous, and non-compliance fines are going through the roof. Just look at this list on CSO Online of the biggest data breaches and subsequent fines companies like Meta, Amazon, and Equifax experienced in recent history.

Observo AI is excited to announce that we are an official partner with Splunk, a Cisco company. Pairing Splunk Enterprise with Observo AI's observability and security data pipeline enhances the capabilities and efficiencies of security and DevOps teams even further. By optimizing data before it hits a Splunk index and creating a fully searchable data lake for long-term retention, Observo AI can optimize customers’ infrastructure costs including storage, cloud egress, and compute.

There are many solutions on the market that are promising insight into the four key metrics. Alas, these solutions often come with a significant price tag. Coralogix doesn’t charge per feature, per user, per host or per query. We charge by GB. And that, coupled with some incredible analytics and indexless observability, makes for some incredible insights that cost almost nothing.

At Logz.io we provide an observability platform with the ability to ship logs, metrics, and traces and then interact with them using our app. LogMetrics is an integral part of our observability offering, which bridges the gap between logs and metrics. It provides the seamless conversion of one type of signal to another. It empowers our customers to gain critical insights faster while also reducing their monitoring bill.

AppDynamics Log Observer Connect with Splunk enables in-context navigation between AppDynamics and Splunk. This unified observability troubleshooting experience promises to streamline problem identification, but also aligns cross-functional teams by providing shared insights into application performance issues across tools.